ShuaiHuang

shading-correction

Remove shading (or the un-even intensity background) of images

medical-image-processing

ResUnet

Pytorch implementation of ResUnet and ResUnet ++

MultiResUNet

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

noise2noise-pytorch

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

OTUR

Optimal Transport for Unsupervised Denoising Learning - Official Pytorch implementation of the TPAMI 2022 paper

Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising

CVF-SID_PyTorch

Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

Neighbor2Neighbor

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

ITK

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

gpu-bm3d

GPU-accelerated denoising with bm3d

bm3d

bm3d-gpu

CUDA implementation of BM3D

BrainPrep

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

TumorMassEffect

Pytorch implementation of the displacement model from "Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks".

Synthetic-Brain-Tumor_Data-Generation

Generation of Training Data for Brain Tumor Segmentation via MeVisLab

BicycleGAN

Toward Multimodal Image-to-Image Translation

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

fastmri-plus

Data labels and scripts for fastMRI.org

ChatLaw

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

pGAN-cGAN

Official implementations of the pixel-wise and cycle-consistency GAN models for multi-contrast MRI synthesis

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

sc-cyclegan

The implementation of the paper "Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN" in MICCAI - DLMIA 2018

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

MRA

UncerGuidedI2I

Uncertainty Guided Progressive GANs for Medical Image Translation

PyTorch-CycleGAN

A clean and readable Pytorch implementation of CycleGAN